Lead the collection, documentation, and validation of business, functional, and data requirements.
Conduct gap analysis to identify variances between current and target business processes, data structures, or system capabilities.
Translate business needs into detailed user stories, process flows, and technical specifications.
Perform source data analysis and data profiling to assess quality, consistency, and completeness.
Develop and maintain data dictionaries, business glossaries, and metadata documentation.
Define and document business rules for data acquisition, transformation, integration, and quality assurance.
Support the design of data lineage, master data, and reference data management processes.
Identify and recommend improvements in data governance, data quality, and operational efficiency.
Capture and document reporting, analytics, and data visualisation requirements in collaboration with business stakeholders.
Analyse data trends and patterns to support business decision-making and process optimisation.
Collaborate with data engineering and BI teams to validate outputs and ensure business needs are met.
Act as the primary liaison between business stakeholders, technical teams, and data specialists.
Communicate project status, issues, and risks clearly and effectively across all levels.
Support roadmap development, including prioritisation, dependency mapping, and resourcing.
Participate in user acceptance testing (UAT) and change management activities to ensure successful implementation.
Requirements
Minimum 5 years’ experience as a Business Analyst within the Insurance industry (Policy, Claims, Regulatory, or Reinsurance data)
Strong understanding of insurance operations, including London Market processes and data flows.
Proven experience in Enterprise Data Management, Data Warehousing, Data Governance, or Data Quality initiatives.
Hands-on experience with data profiling, requirements gathering, and business process documentation.
Excellent communication, analytical, and stakeholder management skills.
Bachelor’s degree in a relevant discipline (e.g., Business, Information Systems, or Data Analytics) preferred.
Experience working with Data Lake / Data Warehouse / Data Governance tools (e.g., Azure Data Services, Databricks, Snowflake, Power BI, Alation, Collibra) preferred.
Exposure to Agile / Scrum methodologies preferred.
Experience with SQL or data query tools for data validation and analysis preferred.
Familiarity with regulatory reporting and compliance requirements in insurance preferred.
Benefits
A competitive salary with a generous bonus
Private healthcare
Critical illness life assurance at 4 x your annual salary
Income protection insurance
A rewarding pension
Financial well-being solutions, such as cash back cards
Cycle Scheme to save money on bikes and cycling accessories
Professional and personal development opportunities
Learning initiatives including online courses, seminars, and workshops
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